A Data Storage Method Based on Query Processing Region in Wireless Sensor Networks. - Fangfang Li 002; Chuanwen Li; Xiaochun Yang 001; Ge Yu 001 (ICYCS, 2008)

Moving K-Nearest Neighbor Query over Obstructed Regions. - Chuanwen Li; Yu Gu 002; Fangfang Li 002; Mo Chen 009 (APWeb, 2010)

Efficient Keyword Search for SLCA in Parallel XML Databases. - Dejun Yue; Ge Yu 001; Jinshen Liu; Tiancheng Zhang 001; Tiezheng Nie; Fangfang Li 002 (WISA, 2011)

wNeighbors: A Method for Finding k Nearest Neighbors in Weighted Regions. - Chuanwen Li; Yu Gu 002; Ge Yu 001; Fangfang Li 002 (DASFAA (2), 2011)

A Survey on Event Processing for CPS. - Fangfang Li 002; Jia Xu 005; Ge Yu 001 (CWSN, 2012)

Energy-Efficient and Smoothing-Sensitive Curve Recovery of Sensing Physical World. - Qian Ma 003; Yu Gu 002; Tiancheng Zhang 001; Fangfang Li 002; Ge Yu 001 (BigCom, 2015)

Effective Privacy Preservation over Composite Events with Markov Correlations. - Fangfang Li 002; Ning Wang 026; Yu Gu 002; Zhe Chen (IEEE WISA, 2016)

A Scheduling Algorithm of Events with Uncertain Timestamps for CPS. - Fangfang Li 002; Chong Liu; Ge Yu 001; Zhe Chen (BigCom, 2017)

Differentially Private Event Histogram Publication on Sequences over Graphs. - Ning Wang 026; Yu Gu 002; Jia Xu 005; Fangfang Li 002; Ge Yu 001 (J. Comput. Sci. Technol., 2017)

Differentially private high-dimensional data publication via grouping and truncating techniques. - Ning Wang 026; Yu Gu 002; Jia Xu 005; Fangfang Li 002; Ge Yu 001 (Frontiers Comput. Sci., 2019)

GHSH: Dynamic Hyperspace Hashing on GPU. - Zhuo Ren; Yu Gu 002; Chuanwen Li; Fangfang Li 002; Ge Yu 001 (APWeb/WAIM (2), 2020)

Efficient Closeness Centrality Computation for Dynamic Graphs. - Zhenzhen Shao; Na Guo; Yu Gu 002; Zhigang Wang 001; Fangfang Li 002; Ge Yu 001 (DASFAA (2), 2020)

GPU-Based Dynamic Hyperspace Hash with Full Concurrency. - Zhuo Ren; Yu Gu 002; Chuanwen Li; Fangfang Li 002; Ge Yu 001 (Data Sci. Eng., 2021)

Efficient Subhypergraph Containment Queries on Hypergraph Databases. - Yuhang Su; Yang Song 022; Xiaohua Li; Fangfang Li 002; Yu Gu 002 (WISA, 2022)

IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance. - Di Wei; Yu Gu 002; Yumeng Song; Zhen Song; Fangfang Li 002; Ge Yu 001 (DASFAA (1), 2022)

CLNIE: A Contrastive Learning Based Node Importance Evaluation Method for Knowledge Graphs with Few Labels. - Jingbo Wang; Yumeng Song; Yu Gu 002; Xiaohua Li; Fangfang Li 002 (DASFAA (2), 2023)

Diffusion Model-Enhanced Contrastive Learning for Graph Representation. - Qi Dai; Yumeng Song; Yu Gu 002; Fangfang Li 002; Xiaohua Li (DASFAA (6), 2024)

HIPPO: Enhancing the Table Understanding Capability of Large Language Models through Hybrid-Modal Preference Optimization. - Zhenghao Liu 001; Haolan Wang; Xinze Li; Qiushi Xiong; Xiaocui Yang; Yu Gu 002; Yukun Yan; Qi Shi 002; Fangfang Li 002; Ge Yu 001; Maosong Sun 001 (CoRR, 2025)

Self-Guided Graph Refinement With Progressive Fusion for Multiplex Graph Contrastive Representation Learning. - Qi Dai; Yu Gu 002; Xiaofeng Zhu 001; Xiaohua Li; Fangfang Li 002; Ge Yu 001 (IEEE Trans. Big Data, 2025)